Using AI to predict survival in glioma patients
Official title: MR Based Survival Prediction of Patients With Primary Glioma Ssing Deep Learning or Machine Learning
Run by The First Affiliated Hospital of Zhengzhou University · NCT04215211 · Data updated 2026-11-12
This study is trying to see if using artificial intelligence can help predict how long people with gliomas might live based on their unique tumor details and medical information.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 1 Year to 90 Years |
| Sex | All |
| Enrollment | 2500 (estimated) |
| Sponsor | The First Affiliated Hospital of Zhengzhou University Academic / other |
| Locations | 1 site (Zhengzhou, Henan) |
| Status | Recruiting |
| Started | January 1, 2017 |
| Main results expected | January 1, 2027 |
| Study ends | June 1, 2027 |
| Registry record updated | February 8, 2021 |
| Trial ID | NCT04215211 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients with a confirmed diagnosis of primary glioma who are scheduled for tumor resection and have a life expectancy of more than three months.
✕Probably not a fit
Patients with non-glioma tumors, insufficient tumor tissue for molecular analysis, or those with severe systemic malfunctions may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational registry collects clinical, molecular, and radiologic data from patients with primary gliomas to develop artificial intelligence algorithms for predicting survival outcomes. It focuses on integrating advanced MRI sequences and molecular pathology information to enhance the accuracy of survival predictions. By analyzing a large dataset of over 1000 patients, the study aims to provide personalized and non-invasive prognostic insights for glioma patients based on their specific tumor characteristics.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate survival predictions, allowing for better personalized treatment plans for glioma patients.
How similar studies have gone: Other studies utilizing AI for survival prediction in glioma patients have shown promising results, indicating the potential for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients must have radiologically and histologically confirmed diagnosis of primary glioma * Life expectancy of greater than 3 months * Must receive tumor resection * Signed informed consent Exclusion Criteria: * No gliomas * No sufficient amount of tumor tissues for detection of molecular pathology * Patients who have any type of bioimplant activated by mechanical, electronic, or magnetic devices * Patients who are pregnant or breast feeding * Patients who are suffered from severe systematic malfuctions
Where it's running
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Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China Recruiting
Study contacts
- Study coordinator: Zhenyu Zhang, Dr.
- Email: fcczhangzy1@zzu.edu.cn
- Phone: +86 17839973727
Similar studies
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.